IEEE announces 3 brand new Standards that take human ethical considerations into account to protect society and human being in this robot/AI revolution
Kaleidoscope 2018: Machine learning for a 5G future is the tenth in a series of peer-reviewed academic conferences organized by ITU to bring together a wide range of views from universities, industry and research institutions.
Press release - 30 March 2018
With the STANDICT.eu Open Call ICT standards specialists can now apply for funding to support contributions to standardisation activities across multiple technologies and domains.
On the 26th of March 2018, the European Commission released the 2018 Rolling Plan on ICT Standardisation, which identifies ICT standardisation activities in support of EU policies.
Every year the rolling plan is updated and extended to reflect new EU policies and new technologies. This year it features the addition of chapters on 'blockchain and distributed digital ledger technologies' and ' regulatory technology' (extending the 'fintech' chapter).
Around the world, urban populations are booming. An estimated 54.5 percent of global populations lived in urban settlements in 2016 and this number is expected to increase to 60 by 2030, according to research by the United Nations.
IEC Standards pave the way of the Artificial Intelligence
The term AI (Artificial Intelligence) is mainly referred to machines that are capable to replicate cognitive functions such as learning and problem-solving. It's a wide concept that encompasses ideas ranging from human-alike robots to voice assistants for smart phones or similar devices.
The comprehensive guide to support SMEs in information security management
The protection of personal records and commercially sensitive information is critical for any business. Most SMEs underestimate their risk level for cyber-attacks. While SMEs are the majority of businesses in Europe and great drivers of innovation, they are too often unprepared when it comes to cope with cyber threats and attaks and their systems are often too vulnerable.